Dr. Maide Betül Baydar | Logistics | Research Excellence Award
Research Assitant | Gaziantep University | Turkey
Dr. Maide Betül Baydar is a dedicated researcher in the field of International Trade and Logistics, focusing on the intersections of logistics performance, environmental sustainability, and digital transformation. Her work explores the economic impacts of transportation infrastructure, green logistics, and Industry 4.0 technologies, employing advanced methods such as machine learning and bibliometric analysis. She has contributed to both national and international conferences, published extensively in peer-reviewed journals, and authored book chapters on topics ranging from supply chain risk management to intelligent transportation systems. Her research emphasizes data-driven insights for improving logistics efficiency while mitigating environmental impact. She also investigates the role of digitalization and innovation in enhancing global logistics networks. Through her scholarly contributions, she bridges theoretical knowledge with practical applications in modern logistics and sustainable transport. Her interdisciplinary approach integrates economics, technology, and environmental considerations to address contemporary challenges in trade and logistics.
Featured Publications
Aksoy, M.B. & Çoban, O. (2022). Seçilmiş temel göstergelerle enerji tüketiminin çevresel bozulma üzerine etkisi: Bir ARDL yaklaşımı.
– International Social Mentality and Researcher Thinkers Journal, 8(63), 1565-1574
Aksoy, M. B., & Yengil Bülbül, B. (2025). Industry 4.0 and digitalization: new technological trends in logistics.
– Uluslararası Ekonomi Siyaset İnsan ve Toplum Bilimleri Dergisi, 8(4), 357-367
Çelebi, B., Yengil Bülbül, B., Aksoy, M.B. & Sert, M.F. (2025). Logistics 4.0: Analysis of the impact of countries’ digitalization and innovation levels on logistics performance with machine learning.
– Trends in Business and Economics, 39(4), 571-583
Yengil Bülbül, B., & Baydar, M. B. (2025). Decarbonizing Transportation: Cross-Country Evidence on Electric Vehicle Sales and Carbon Dioxide Emissions.
– World Electric Vehicle Journal, 16(12), 660